Modeling precision genomic-based radiation dose response in rectal cancer

Author:

Yuan Zhigang1ORCID,Frazer Marissa1,Ahmed Kamran A1,Naqvi Syeda Mahrukh Hussnain2,Schell Michael J2,Felder Seth3,Sanchez Julian3,Dessureault Sophie3,Imanirad Iman3,Kim Richard D3,Torres-Roca Javier F1,Hoffe Sarah E1,Frakes Jessica M1

Affiliation:

1. Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA

2. Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA

3. Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA

Abstract

Aim: Genomic-based risk stratification to personalize radiation dose in rectal cancer. Patients & methods: We modeled genomic-based radiation dose response using the previously validated radiosensitivity index (RSI) and the clinically actionable genomic-adjusted radiation dose. Results: RSI of rectal cancer ranged from 0.19 to 0.81 in a bimodal distribution. A pathologic complete response rate of 21% was achieved in tumors with an RSI <0.31 at a minimal genomic-adjusted radiation dose of 29.76 when modeling RxRSI to the commonly prescribed physical dose of 50 Gy. RxRSI-based dose escalation to 55 Gy in tumors with an RSI of 0.31–0.34 could increase pathologic complete response by 10%. Conclusion: This study provides a theoretical platform for development of an RxRSI-based prospective trial in rectal cancer.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Oncology,General Medicine

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